- Mon. Oct 7th, 2024
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Enhancing Accountability and Trust: Meet the ‘AI Foundation Model Transparency Act’
AI’s extensive integration across various fields has prompted concerns about the necessity for more transparency in how these AI systems are trained and the data they rely on. This lack…
A New AI Research Introduces LoRAMoE: A Plugin Version of Mixture of Experts (Moe) for Maintaining World Knowledge in Language Model Alignment
Large Language Models (LLMs) have proven remarkably effective in numerous jobs. To fully realize the potential of the models, supervised fine-tuning (SFT) is necessary to match them with human instructions.…
Researchers from the University of Oxford Developed a Deep Learning-Based Software for Precision Tracking of Fish Movement in Complex Environments
Automated animal tracking software has revolutionized behavioral studies, particularly in monitoring laboratory creatures like aquarium fish, which is pivotal across neuroscience, medicine, and biomechanics. Despite advancements, current open-source tracking tools…
This AI Paper from Mete Introduces Hyper-VolTran: A Novel Neural Network for Transformative 3D Reconstruction and Rendering
In the swiftly evolving domain of computer vision, the breakthrough in transforming a single image into a 3D object structure is a beacon of innovation. This technology, pivotal in applications…
SK hynix to exhibit AI Memory Leadership at CES 2024
SK hynix to highlight role of memory chips in AI era Ultra-high performance of HBM3E, interactive AI fortuneteller to be displayed Company to solidify AI memory leadership, seek acceleration of…
Neuchips to showcase Gen AI Inferencing Accelerators at CES 2024
Neuchips, a leading AI Application-Specific Integrated Circuits (ASIC) solutions provider, will demo its revolutionary Raptor Gen AI accelerator chip (previously named N3000) and Evo PCIe accelerator card LLM solutions at CES 2024. Raptor, the new chip…
Meet UniRef++: A Game-Changer AI Model in Object Segmentation with Unified Architecture and Enhanced Multi-Task Performance
Object segmentation across images and videos is a complex yet pivotal task. Traditionally, this field has witnessed a siloed progression, with different tasks such as referring image segmentation (RIS), few-shot…
This AI Paper Introduces a Groundbreaking Approach to Causal Reasoning: Assessing the Abilities of Language Models with CLadder and CausalCoT
Causal reasoning is the process of identifying the relationship between a cause and its effect, by which people attempt to infer outcomes, making it one of the hallmarks of human…
Meet Netron: A Visualizer for Neural Network, Deep Learning and Machine Learning Models
Exploring pre-trained models for research often poses a challenge in Machine Learning (ML) and Deep Learning (DL). Visualizing the architecture of these models usually demands setting up the specific framework…
A New Study from Korea Introduces a Deep Learning-Based Approach to Screen for Autism and Symptom Severity Using Retinal Photographs
In a world where diagnosing autism spectrum disorder (ASD) relies heavily on the expertise of specialized professionals, a new study has shed light on a potential game-changer. With limited resources…